基于小波阈值算法的气体超声波流量计 信号预处理

doi:10.3969/j.issn.1000-1158.2024.10.10

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Abstract When the ultrasonic signal of gas ultrasonic flowmeter propagates in the gas, it is easy to be interfered by various kinds of noises, with serious energy attenuation, weak echo signal amplitude and low signal-to-noise ratio, in order to accurately collect the ultrasonic signal of the gas ultrasonic flowmeter, Based on the traditional threshold filtering algorithm, an improved wavelet threshold algorithm is proposed to preprocess the gas ultrasonic flowmeter signal; Simulate and compare the improved wavelet threshold algorithm with the traditional threshold algorithm,The collected ultrasonic signal is processed by 6-layer Coif5 wavelet filter using FPGA. The comparison between simulation and experiment shows that the root mean square error of the improved threshold filtering algorithm is 0.0014, and the signal-to-noise ratio is 88.3290dB,it improves the acquisition quality of ultrasonic flowmeter, has good noise reduction effect.

Key words： ultrasonic gas flowmeter echo signal signal preprocessing improved wavelet threshold algorithm

Received: 17 March 2023 Published: 30 September 2024

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TB937

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	Articles by authors
	GE Wenqi
	ZHANG Kun
	LIU Caizhi

Cite this article:

GE Wenqi,ZHANG Kun,LIU Caizhi. Signal Preprocessing of Gas Ultrasonic Flowmeter Based on Wavelet Threshold Algorithm[J]. Acta Metrologica Sinica, 2024, 45(10): 1502-1511.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2024.10.10 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2024/V45/I10/1502

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